[HTML][HTML] Integration of remote sensing and machine learning for precision agriculture: a comprehensive perspective on applications

J Wang, Y Wang, G Li, Z Qi - Agronomy, 2024 - mdpi.com
Due to current global population growth, resource shortages, and climate change, traditional
agricultural models face major challenges. Precision agriculture (PA), as a way to realize the …

[HTML][HTML] Grain Crop Yield Prediction Using Machine Learning Based on UAV Remote Sensing: A Systematic Literature Review

J Yuan, Y Zhang, Z Zheng, W Yao, W Wang, L Guo - Drones, 2024 - mdpi.com
Preharvest crop yield estimation is crucial for achieving food security and managing crop
growth. Unmanned aerial vehicles (UAVs) can quickly and accurately acquire field crop …

On crop yield modelling, predicting, and forecasting and addressing the common issues in published studies

P Filippi, SY Han, TFA Bishop - Precision Agriculture, 2025 - Springer
There has been a recent surge in the number of studies that aim to model crop yield using
data-driven approaches. This has largely come about due to the increasing amounts of …

[HTML][HTML] Oilseed Rape Yield Prediction from UAVs Using Vegetation Index and Machine Learning: A Case Study in East China

H Hu, Y Ren, H Zhou, W Lou, P Hao, B Lin, G Zhang… - Agriculture, 2024 - mdpi.com
Yield prediction is an important agriculture management for crop policy making. In recent
years, unmanned aerial vehicles (UAVs) and spectral sensor technology have been widely …

Advancements in UAV Remote Sensing for Agricultural Yield Estimation: A Systematic Comprehensive Review of Platforms, Sensors, and Data Analytics

SA Gade, MJ Madolli, P García‐Caparrós… - Remote Sensing …, 2024 - Elsevier
Traditional yield estimation approaches are quite tedious, time-consuming, and labor-
intensive. Unmanned aerial vehicles (UAVs) present an exciting opportunity to estimate crop …

[HTML][HTML] Prediction of winter wheat nitrogen status using UAV imagery, weather data, and machine learning

TST Tanaka, R Gislum - European Journal of Agronomy, 2025 - Elsevier
The critical nitrogen dilution curve (CNDC) and associated nitrogen nutrition index (NNI) are
known to provide valuable information indicating whether the crops are experiencing luxury …

A Study on Anaphylactic-shock Forecasting System with Knowledge-Based Intelligent Architecture

M Sarkar, S Chatterjee, S Hazra… - International …, 2024 - submissions.adroidjournals.com
A serious and potentially fatal allergic reaction Anaphylaxis requires prompt diagnosis and
treatment. Accurate prediction of anaphylaxis is vital for preventing severe outcomes and …

Machine learning-based potential loss assessment of maize and rice production due to flash flood in Himachal Pradesh, India

S Koley, SN Kumar - Environmental Monitoring and Assessment, 2024 - Springer
Flash floods in mountainous regions like the Himalayas are considered to be common
natural calamities. Their consequences often are more dangerous than any flood event in …

Research Progress in Rice Yield Estimation Method Based on Low-altitude Unmanned Aerial Vehicle Remote Sensing

X FENG, A WANG, W HONG, Z LI, J QIN… - Chinese Journal OF …, 2024 - ricesci.cn
Rice is one of the primary staple crops. Its yield estimation plays a crucial role in the macro-
control of national policies, real-time guidance according to local agricultural conditions, and …

基于低空无人机遥感的水稻产量估测方法研究进展

冯向前, 王爱冬, 洪卫源, **子秋, 覃金华, 詹丽钏… - **水稻科学, 2024 - ricesci.cn
水稻作为主要的粮食作物之一, 其产量估测对国家政策宏观调控, 地方农情实时指导以及优良
品种的定向培育都起着至关重要的作用. 随着作物学科及其交叉学科的不断进步 …